recipe bioconductor-informeasure

R implementation of Information measures






This package compiles most of the information measures currently available: mutual information, conditional mutual information, interaction information, partial information decomposition and part mutual information. All of these estimators can be used to quantify nonlinear dependence between variables in (biological regulatory) network inference. The first estimator is used to infer bivariate networks while the last four estimators are dedicated to analysis of trivariate networks.

package bioconductor-informeasure

(downloads) docker_bioconductor-informeasure



depends r-base:


depends r-entropy:



You need a conda-compatible package manager (currently either micromamba, mamba, or conda) and the Bioconda channel already activated (see set-up-channels).

While any of above package managers is fine, it is currently recommended to use either micromamba or mamba (see here for installation instructions). We will show all commands using mamba below, but the arguments are the same for the two others.

Given that you already have a conda environment in which you want to have this package, install with:

   mamba install bioconductor-informeasure

and update with::

   mamba update bioconductor-informeasure

To create a new environment, run:

mamba create --name myenvname bioconductor-informeasure

with myenvname being a reasonable name for the environment (see e.g. the mamba docs for details and further options).

Alternatively, use the docker container:

   docker pull<tag>

(see `bioconductor-informeasure/tags`_ for valid values for ``<tag>``)

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